snap-research/articulated-animation
A CVPR 2021 deep learning paper that animates source images by transferring motion from driving videos.
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This repository implements a method for articulated animation that extracts motion representations from a driving video and applies them to animate a source image. It uses deep learning to disentangle motion and appearance, enabling image-to-video generation. The paper supports standard animation mode and animation via disentanglement mode, and includes pre-trained checkpoints and a Colab demo.
Frequently asked
- What is snap-research/articulated-animation?
- A CVPR 2021 deep learning paper that animates source images by transferring motion from driving videos.
- Is articulated-animation open source?
- Yes — snap-research/articulated-animation is an open-source project tracked on heatdrop.
- What language is articulated-animation written in?
- snap-research/articulated-animation is primarily written in Jupyter Notebook.
- How popular is articulated-animation?
- snap-research/articulated-animation has 1.3k stars on GitHub.
- Where can I find articulated-animation?
- snap-research/articulated-animation is on GitHub at https://github.com/snap-research/articulated-animation.